Scilab 5.3.1
- Scilab help
- Scilab
- Differential Equations, Integration
- Elementary Functions
- Linear Algebra
- Interpolation
- CACSD
- Polynomials
- Signal Processing
- FFTW
- Special Functions
- Randlib
- ARnoldi PACKage
- Statistics
- Sparse Matrix
- UMFPACK Interface (sparse)
- Optimization and Simulation
- Genetic Algorithms
- Simulated Annealing
- Symbolic
- Files : Input/Output functions
- Input/Output functions
- Graphics Library
- Graphics : exporting and printing
- GUI
- Data Structures
- Parameters
- Boolean
- Integers
- Strings
- Sound file handling
- Time and Date
- Output functions
- Xcos
- Spreadsheet
- Shell
- Console
- Completion
- History manager
- Matlab binary files I/O
- Matlab to Scilab Conversion Tips
- Compatibility Functions
- Maple Interface
- Overloading
- Functions
- Development tools
- Demo Tools
- Dynamic/incremental Link
- ATOMS
- Tcl/Tk Interface
- Text editor (Scinotes)
- UI Data
- Online help management
- Parallel
- PVM parallel Toolbox
- Modules manager
- Localization
- JVM
- API Scilab
- call_scilab API (Scilab engine)
- Java Interface
- Intersci
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
Sparse Matrix
- adj2sp — converts adjacency form into sparse matrix.
- full — sparse to full matrix conversion
- gmres — Generalized Minimum RESidual method
- ludel — utility function used with lufact
- lufact — sparse lu factorization
- luget — extraction of sparse LU factors
- lusolve — sparse linear system solver
- mtlb_sparse — convert sparse matrix
- nnz — number of non zero entries in a matrix
- pcg — precondioned conjugate gradient
- qmr — quasi minimal resiqual method with preconditioning
- sp2adj — converts sparse matrix into adjacency form
- sparse — sparse matrix definition
- spchol — sparse cholesky factorization
- spcompack — converts a compressed adjacency representation
- speye — sparse identity matrix
- spget — retrieves entries of sparse matrix
- spones — sparse matrix
- sprand — sparse random matrix
- spzeros — sparse zero matrix
| << Statistics | Scilab help | UMFPACK Interface (sparse) >> |